@inproceedings{ed01d915d0f34e82aba75c21eed3fb1f,
title = "Observation scheduling problem for multi-task with complex constraints",
abstract = "The observation scheduling problem with multi-task and multiresource for multi-satellites is studied in this paper. Firstly, the time constraints and resource constraints remain in the scheduling process are analyzed, and the mathematical model for the scheduling problem is established. Secondly, the ways of checking the time and resource constraints are respectively given, especially for the resource with both producing and consuming functions. Finally an improved ACO is proposed, combining with the task priorities and resource constraint information, proper transition controlling strategy and pheromone updating mechanism. The simulation proves the validity of the model and the algorithm.",
keywords = "Complex constraints, Earth observation, Improved ACO, Multi-task, Scheduling problem",
author = "Fanyu Zhao and Rui Xu and Pingyuan Cui",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; 2nd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014 ; Conference date: 03-10-2014 Through 05-10-2014",
year = "2015",
doi = "10.1007/978-3-662-45737-5_20",
language = "English",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "194--203",
editor = "Fuling Bian and Yichun Xie",
booktitle = "Geo-Informatics in Resource Management and Sustainable Ecosystem - 2nd International Conference, GRMSE 2014, Proceedings",
address = "Germany",
}